• 제목/요약/키워드: Growth Trajectory

검색결과 121건 처리시간 0.022초

가족의 사회경제적 배경이 청소년기 아동의 학업성취도 발달궤적에 미치는 영향 - 잠재성장모형을 적용하여 - (The Effect of Family Socioeconomic Background on Child's Academic Attainment Development Trajectory - Application of Latent Growth Curve Modeling -)

  • 김광혁
    • 아동학회지
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    • 제28권5호
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    • pp.127-141
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    • 2007
  • The purpose of this research was to analyze the trajectory of child's academic attainment and the effect of family socioeconomic background on the trajectory. Data were part of the Korea Youth Panel Survey 2003-2005(Middle School 2) and were analyzed by Latent Growth Curve Modeling(LGM). The degree of child's academic attainment decreased over 3 years. Socioeconomic status variables that influenced academic trajectory were family poverty, parent's attainments in scholarship, and family structure. Findings from this study suggest that societal support for low socioeconomic status families is needed for improvement of academic attainment of their children.

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B-spline polynomials models for analyzing growth patterns of Guzerat young bulls in field performance tests

  • Ricardo Costa Sousa;Fernando dos Santos Magaco;Daiane Cristina Becker Scalez;Jose Elivalto Guimaraes Campelo;Clelia Soares de Assis;Idalmo Garcia Pereira
    • Animal Bioscience
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    • 제37권5호
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    • pp.817-825
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    • 2024
  • Objective: The aim of this study was to identify suitable polynomial regression for modeling the average growth trajectory and to estimate the relative development of the rib eye area, scrotal circumference, and morphometric measurements of Guzerat young bulls. Methods: A total of 45 recently weaned males, aged 325.8±28.0 days and weighing 219.9±38.05 kg, were evaluated. The animals were kept on Brachiaria brizantha pastures, received multiple supplementations, and were managed under uniform conditions for 294 days, with evaluations conducted every 56 days. The average growth trajectory was adjusted using ordinary polynomials, Legendre polynomials, and quadratic B-splines. The coefficient of determination, mean absolute deviation, mean square error, the value of the restricted likelihood function, Akaike information criteria, and consistent Akaike information criteria were applied to assess the quality of the fits. For the study of allometric growth, the power model was applied. Results: Ordinary polynomial and Legendre polynomial models of the fifth order provided the best fits. B-splines yielded the best fits in comparing models with the same number of parameters. Based on the restricted likelihood function, Akaike's information criterion, and consistent Akaike's information criterion, the B-splines model with six intervals described the growth trajectory of evaluated animals more smoothly and consistently. In the study of allometric growth, the evaluated traits exhibited negative heterogeneity (b<1) relative to the animals' weight (p<0.01), indicating the precocity of Guzerat cattle for weight gain on pasture. Conclusion: Complementary studies of growth trajectory and allometry can help identify when an animal's weight changes and thus assist in decision-making regarding management practices, nutritional requirements, and genetic selection strategies to optimize growth and animal performance.

Optimizing Business Opportunities: The Evolving Landscape of Smart Cities in South Korea

  • Yooncheong CHO;Jooyeol MAENG
    • Asian Journal of Business Environment
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    • 제14권2호
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    • pp.1-10
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    • 2024
  • Purpose: The purpose of this study is to investigate the essential factors contributing to the growth and success of smart cities, providing a comprehensive analysis of key elements that are crucial in fostering the development of smart cities. This study explored the impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on overall attitudes towards smart cities. Additionally, the study examined the impact of overall attitude on the growth trajectory of the smart cities and satisfaction. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study unveiled significant impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on the overall attitudes. Furthermore, it demonstrated that the overall attitude significantly influences the growth trajectory of smart cities. Conclusions: This study identified key driving factors for smart city development, suggesting that the consideration of sustainable urban practices emerges as the most significant factor influencing the growth of the smart cities.

초고령 노인의 우울증상 궤적: 성별차이를 중심으로 (The trajectory of depressive symptoms among the oldest-old: Focusing on gender difference)

  • 전해숙
    • 보건교육건강증진학회지
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    • 제34권1호
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    • pp.25-34
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    • 2017
  • Objectives: Although the number of the oldest-old is rapidly increasing due to longevity, very little is known about the trajectory of depressive symptoms(DS) and its related factors among the oldest-old. Much less is known about whether the trajectory of DS differs by gender among the oldest-old. The current study aims (1) to estimate the trajectory of DS and (2) to examine whether the trajectory differs by gender among the oldest-old. Methods: Sample consists of 296 persons aged 85 and over who participated in the Korean Welfare Panel Study data. Data were processed using the latent growth curve modeling to estimate the trajectory and multi-group SEM to examine gender difference. Results: This study showed that (1) the trajectory of DS was increasing over time and (2) the DS trajectory of males was much more rapidly increasing than that of females, indicating male oldest old are more vulnerable to depression than female oldest old in later life. Conclusions: Given the fact that females are known to be more vulnerable to depression, the findings are counterintuitive to the previous knowledge on depression and gender difference. Based on the findings, implications for intervention and education related to DS among the oldest-old.

CES-D로 측정한 우울증상 변화궤적의 잠재계층 탐색 -GMM을 활용한 한국복지패널 데이터의 재분석- (Exploring Latent Trajectory Classes of Change in Depression Measured Using CES-D)

  • 허만세
    • 한국사회복지학
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    • 제66권1호
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    • pp.307-331
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    • 2014
  • 본 연구는 전 국민을 대상으로 체계적인 종단자료를 구축한 한국복지패널 자료를 이용하여 우울증상의 종단적 변화궤적이 상이한 잠재계층(latent trajectory class)을 탐색하고자 하였다. 19세 이상 성인 남녀 8,900명을 최종 샘플로 선정하여 Growth Mixture Modeling(GMM) 분석을 하였다. 자료 분석 결과 주된 연구결과는 다음과 같다. 첫째 한국복지패널에 나타난 우리국민의 우울증상 변화 궤적에는 5개의 하위 집단이 존재한다. 둘째, 전체 사례를 일반가구와 빈곤가구로 구분하여 분석하고 각각의 분석에서 성별의 영향력을 고려하여 분석한 결과 일반가구에서는 4개의 잠재 우울변화 집단이 나타났고 빈곤가구에서는 3개의 잠재 우울변화 집단이 나타났다. 본 연구 결과는 다음과 같은 측면에서 논의 될 수 있다. 첫째, 우울변화에 대한 기존의 연구는 우울수준이 시간에 따라 감소한다는 결과를 도출하고 있지만, 이에 반해 본 연구는 전체 연구대상 중에서 약 12.1% 사람들의 우울 수준은 시간에 따라 증가하고 있음을 보여주고 있다. 둘째 기존의 연구에서 우울이 감소하고 있다는 결과는 본 연구에서 보여준 두 가지 우울변화패턴(낮은 우울 수준 유지 집단, 우울감소 집단)의 결합에 기인하는 것으로 보인다. 마지막으로 본 연구에서 나타난 우울변화궤적의 잠재계층은 우울증상의 이질성을 보여주는 것이며, 또한 우울, 연령, 빈곤상태의 상호작용에 의한 결과라고 해석할 수 있다. 이에 대한 후속 연구가 필요할 것이다.

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노년기 외래의료서비스 이용 궤적 및 예측요인 : 연령 차이를 중심으로 (The Trajectory of Outpatient Medical Service Use and Its Predictors: Focusing on Age Variations)

  • 강상경
    • 한국사회복지학
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    • 제62권3호
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    • pp.83-108
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    • 2010
  • 본 연구는 고령사회 준비를 위한 현황이해 차원에서 앤더슨 모형을 이용하여 노년기 외래의료 서비스 이용궤적 및 예측요인을 살펴보고, 초기노년기와 후기노년기 간에 궤적이나 예측요인이 차이가 있는지를 살펴보는 것을 목적으로 한다. 한국복지패널의 1, 2, 3차년도 자료를 사용하여, 궤적 및 예측 요인은 잠재성장모형을 이용해서 분석하였고 연령 차이는 다중집단분석을 이용하여 분석하였다. 60세 이상 노인들은 해가 지남에 따라서 외래이용 횟수를 증가시키는 경향을 보였는데, 75세 미만의 초기 노년기의 노인들이 75세 이상의 후기노년기의 노인들 보다가 이용 횟수를 상대적으로 빨리 증가시켰다. 예측요인에 있어서는 선행요인, 자원요인, 욕구요인들의 상당수가 궤적과 유의미한 관계가 있었는데, 자원요인 보다는 욕구요인들이 의료서비스 이용궤적에 크게 영향을 주는 것으로 나타났다. 하지만 예측요인에 있어서 초기 및 후기 노년기 사이에 큰 차이는 없었다. 결과를 토대로 연구의 의의 및 함의를 논의하였다.

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Long-Term Growth Model in Myanmar Based on the Growth Trajectory of Vietnam

  • JEON, Injae;CHO, Yooncheong
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.771-781
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    • 2021
  • The purpose of this study is to identify major drivers of Myanmar's long-term economic growth and draw implications to implement development policies. This study investigated Myanmar, as the country is the most recently opened economy in Southeast Asia. This study conducted simulation analysis based on scenarios by applying World Bank's Long-Term Growth Model, Penn World Table 9.1, and World Development Indicator data. This study makes extensive use of LTGM and the LTGM-TFP extension to improve the validity of models for data calibration. This study confirms the validity of the model with data calibration and specifies scenarios for simulation analyses by setting the growth trajectory of Vietnam due to common geographical, political, and economic conditions. Main findings include that Myanmar's economic growth rate will continue to fall below 3% in 2040 without proper improvement of growth drivers. The results of this study also provide that total factor productivity growth and female labor participation are key factors for Myanmar's long-term economic growth. This study advises policymakers in Myanmar to strengthen human capital, which is crucial for total factor productivity growth in Myanmar's context and directly affects economic growth. Further, labor market policies to promote female labor participation is important to sustain economic growth.

지속적 한부모가족 청소년의 학교생활적응 변화궤적과 관련 요인 (School adjustment trajectory of adolescents from continued single parent family and its associated factors)

  • 김상하;진미정
    • 한국가족관계학회지
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    • 제23권1호
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    • pp.75-95
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    • 2018
  • Objectives: This study aims to examine a school adjustment trajectory of adolescents from continued single parent families and its associated factors by comparing it to that of adolescents of two-parent families. Methods: We selected 4th grade students from Korean Youth & Youth Panel Survey (KCYPS). Using a multi-level growth modeling, we followed the trajectory of school adjustment until 9th grade and the effects of family income, parenting styles, and academic motivations of adolescents on the intercepts and the slopes. Results: Adolescents' school adjustment were decreased from 4th grade to 7th grade and then increased from 7th to 9th grade. The adolescents of continued single parent families showed a lower school adjustment than those of two parent families and this trend remained constant during the period. The effects of family income, parenting style, and academic motivation were confirmed to explain the gap between the adolescents of single parent and two parent families. Conclusions: The results imply that an earlier intervention is necessary to reduce the gap. We need to offer income support and decent quality of work for single parent family to reduce the economic hardship and also provide parental education that is designed to enhance academic expectations and motivations.

사회적기업 성과의 종단적 유형화 (A Longitudinal Study of Social Enterprises' Performances)

  • 권소일;조상미
    • 사회복지연구
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    • 제49권3호
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    • pp.209-245
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    • 2018
  • 본 연구는 인증 사회적기업의 경제적 사회적 성과지표를 활용하여 유형화를 시도하고, 통계적 적합도 지수를 통해 성과별 유의한 잠재유형을 탐색하는 것이 목적이며, 성과 유형간 조합을 분석하였다. 연구대상은 조상미 외(2011) 연구에 참여한 사회적기업 중 현재까지 운영되고 있는 기업이며 2011년 이후 6년간의 성과를 조사하여 분석하였다. 사회적기업의 경제적 성과인 매출액의 변화유형을 탐색한 결과 잠재유형이 세 개인 최적 모형을 도출하였으며 '매출성숙형', '매출증가형', '매출평균형'으로 명명하였다. 이때 매출평균형이 가장 많은 분포를 보이며, 운영기간이 타유형에 비해 짧은 것으로 나타났다. 사회적 성과인 취약계층고용율의 경우 세계의 최적모형이 탐색되었다, '고용평균형', '고용감소형', '고용증가형'으로 분류되었다. 사회적 성과는 고용평균형이 가장 많이 나타났으며, 다른 유형에 비해 매출액이 높은 것이 특징이다. 또한 사회적기업 경제적 성과의 변화유형에 따른 사회적 성과 변화유형의 분포인 $3{\times}3$의 교차유형을 살펴보았다. 교차유형에서는 '매출평균형 고용평균형', '매출평균 고용감소형'이 주를 이룬다. 이를 통해 사회적기업의 유형의 특징을 알아보고 지원 제도의 현실성 제고를 위한 정책 제안과 실행에 있어 필요한 시사점을 제시하였다.

MPC Based Feedforward Trajectory for Pulling Speed Tracking Control in the Commercial Czochralski Crystallization Process

  • Lee Kihong;Lee Dongki;Park Jinguk;Lee Moonyong
    • International Journal of Control, Automation, and Systems
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    • 제3권2호
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    • pp.252-257
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    • 2005
  • In this work, we propose a simple but efficient method to design a target temperature trajectory for pulling speed tracking control of the crystal grower in the Czochralski crystallization process. In the suggested method, the model predictive control strategy is used to incorporate the complex dynamic effect of the heater temperature on the pulling speed into the temperature trajectory design quantitatively. The feedforward trajectories designed by the proposed method were implemented on 200 mm and 300 mm silicon crystal growers in the commercial Czochralski process. The application results have demonstrated its excellent and consistent tracking performance of pulling speed along whole bulk crystal growth.